{"id":"W3012103148","doi":"","title":"A Fresh Look at Aging Lunar Ejecta: Insights from Optical Maturity (OMAT) and Rock Abundance (RA)","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ejecta; Maturity (psychological); Astrobiology; Abundance (ecology); Geology; Environmental science; Remote sensing; Computer science; Astronomy; Physics; Psychology; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009549069,0.0004497071,0.0008506025,0.001213198,0.0005547104,0.002279943,0.0008362856,0.001007327,0.004116571],"category_scores_gemma":[0.001967758,0.0002548457,0.0006616444,0.0008925012,0.0007224328,0.005746254,0.001132698,0.002555198,0.0007904284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304457,"about_ca_system_score_gemma":0.0003966378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003678803,"about_ca_topic_score_gemma":0.009643006,"domain_scores_codex":[0.9998477,0.00001296166,0.00001143958,0.0000497274,0.00004205147,0.00003611045],"domain_scores_gemma":[0.9990143,0.0001688692,0.0001956228,0.0001303987,0.0002782043,0.0002125463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009970915,0.0002650987,0.6284853,0.0007305954,0.0007598216,0.001189001,0.002066176,0.0009962617,0.1054027,0.007332042,0.02881507,0.2229608],"study_design_scores_gemma":[0.0000146704,0.0004440218,0.9168792,0.0002546277,0.0003124143,0.001483205,0.003407485,0.001019231,0.006475576,0.01402893,0.05556438,0.0001162713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7763858,0.1481834,0.01080451,0.03693203,0.001912732,0.0000380863,0.004217438,0.0004942928,0.02103179],"genre_scores_gemma":[0.9348944,0.03434223,0.007647979,0.009309823,0.00202115,0.00001933216,0.002054556,0.0004390698,0.009271387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004116571,"threshold_uncertainty_score":0.0137713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009145532285383142,"score_gpt":0.2058277234209339,"score_spread":0.1966821911355507,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}